agents.bayesianopponentmodel
Class BayesianOpponentModel

java.lang.Object
  agents.bayesianopponentmodel.OpponentModel
      agents.bayesianopponentmodel.BayesianOpponentModel

public class BayesianOpponentModel
extends OpponentModel

Implementation of the unscalable Bayesian Model. Opponent Modelling in Automated Multi-Issue Negotiation Using Bayesian Learning by K. Hindriks, D. Tykhonov

Nested Class Summary

protected class

BayesianOpponentModel.HypsComparator

Field Summary

Fields inherited from class agents.bayesianopponentmodel.OpponentModel

fBiddingHistory, fDomain

Constructor Summary

BayesianOpponentModel(UtilitySpace pUtilitySpace)

Method Summary

double	getExpectedUtility(Bid pBid)
double	getExpectedWeight(int pIssueNumber)
double	getNormalizedWeight(Issue i, int startingNumber)
void	setMostProbableUSHypsOnly(boolean value)
void	updateBeliefs(Bid pBid)

Methods inherited from class agents.bayesianopponentmodel.OpponentModel

findMinMaxUtility, getDomain, getNormalizedUtility, haveSeenBefore, isCrashed

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BayesianOpponentModel

public BayesianOpponentModel(UtilitySpace pUtilitySpace)

Method Detail

updateBeliefs

public void updateBeliefs(Bid pBid)
                   throws java.lang.Exception

Overrides:

updateBeliefs in class OpponentModel

Throws:

java.lang.Exception

getExpectedUtility

public double getExpectedUtility(Bid pBid)
                          throws java.lang.Exception

Overrides:

getExpectedUtility in class OpponentModel

Throws:

java.lang.Exception

getExpectedWeight

public double getExpectedWeight(int pIssueNumber)

Overrides:

getExpectedWeight in class OpponentModel

getNormalizedWeight

public double getNormalizedWeight(Issue i,
                                  int startingNumber)

setMostProbableUSHypsOnly

public void setMostProbableUSHypsOnly(boolean value)